The Conference and Workshop on Neural Information Processing Systems (NeurIPS) is one of the primary conferences of high impact in machine learning and artificial intelligence research, held every December. Here you can find papers with Chalmers authors that have been accepted for the conference.
NeurIPS 2024
The Thirty-Eighth Annual Conference on Neural Information Processing Systems, Vancouver, 10 Dec - 15 Dec.
Active preference learning for ordering items in- and out-of-sample
Herman Bergström · Emil Carlsson · Devdatt Dubhashi · Fredrik Johansson
IncomeSCM: From tabular data set to time-series simulator and causal estimation benchmark
Fredrik Johansson
Predicting Ground State Properties: Constant Sample Complexity and Deep Learning Algorithms
Marc Wanner · Laura Lewis · Chiranjib Bhattacharyya · Devdatt Dubhashi · Alexandru Gheorghiu
Algebraic Positional Encodings
Konstantinos Kogkalidis · Jean-Philippe Bernardy · Vikas Garg
Learning Structure-Aware Representations of Dependent Types
Konstantinos Kogkalidis · Orestis Melkonian · Jean-Philippe Bernardy
Bias in Motion: Theoretical Insights into the Dynamics of Bias in SGD Training
Anchit Jain · Rozhin Nobahari · Aristide Baratin · Stefano Mannelli
SE(3)-bi-equivariant Transformers for Point Cloud Assembly
Ziming Wang · Rebecka Jörnsten
Do you know of more papers by Chalmers researchers? To have them added to the list, please send an e-mail.